Paper Info
Title
Sequential Task Scheduling for Mobile Edge Computing Using Genetic Algorithm
Abstract
In this paper, we consider sequential task offloading to multiple mobile-edge computing servers to providing ultra-reliable low- latency mobile edge computing. The task consists of a set of sub-tasks, with a general dependency model among sub-tasks. Our objective is to minimize both latency and offloading failure probability by scheduling sub-tasks to servers. We formulate an optimization problem with constraints over binary scheduling decision variables. A genetic algorithm is devised to solve the formulated optimization problems. Simulation results show that the proposed algorithm provides performance close to the optimal solution, which is obtained through exhaustive search.
Year
DOI
Venue
2019
10.1109/GCWkshps45667.2019.9024374
2019 IEEE Globecom Workshops (GC Wkshps)
Keywords
DocType
ISSN
failure probability,binary scheduling decision variables,genetic algorithm,formulated optimization problems,sequential task scheduling,sequential task offloading,mobile-edge computing servers,providing ultra-reliable,latency mobile edge computing,general dependency model
Conference
2166-0069
ISBN
Citations 
PageRank 
978-1-7281-0961-9
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Ahmed A. Al-Habob192.21
Octavia A. Dobre22064181.08
A. G. Armada36913.61